Capturing knowledge by using markup
techniques and by supporting semantic annotations is a major technique for
creating metadata. It is beneficial in a wide range of content-oriented intelligent
One important Application for instance
is the Semantic Web. The research about the WWW currently strives
to augment syntactic information already present in the Web by semantic metadata
in order to achieve a Semantic Web that human and software agents can understand.
Here, one of the most urgent challenges now is a knowledge-capturing problem,
i.e. how one may turn existing syntactic resources into knowledge structures.
A solution is to markup web document in order to create metadata on the web
or to author new documents in a way that they contain markup directly.
Another application is the indexing
and searching of multimedia (and multilingual) data. It is difficult to completely
process the content of multimedia data, even with technologies based on natural
language processing, image processing, machine vision and speech recognition.
Therefore, Semantic annotation is one of the promising methodologies to define
semantic structures on the content.
Topics of Interest includes, but not limited to:
- authoring/annotation tools
- web page annotation
- ontology-based markup
- knowledge markup in the Semantic Web
- using semantic annotations to define knowledge
- tools for supporting knowledge markup
- integrated software architecture based on semantic annotation
- multimedia annotation (e.g. by using MPEG-7)
- annotation of software components
- linguistic aspects of semantic annotation
- capturing knowledge through Information Extraction and NLP
- text mining for creating knowledge markup
- collaborative, shared annotation
- evaluation of manual annotation
Siegfried Handschuh (University of Karlsruhe) Rose Dieng-Kuntz (INRIA) Nigel Collier (National Institute of Informatics) Steffen Staab (University of Karlsruhe)
Ana Belen Benitez (Columbia University)
Paul Buitelaar (DFKI)
Fabio Ciravegna (University of Sheffield)
Olivier Corby (INRIA)
Martin Frank (ISI)
Koiti Hasida (CARC, AIST. Japan)
Alexis Hombecher (Cambridge, UK)
Marja-Riitta Koivunen (W3C)
Riichiro Mizoguchi (Osaka University, Japan)
Guenter Neumann (DFKI)
Jeff Heflin (University of Maryland)
Alun Preece (University of Aberdeen)
Katarina Stanoevska-Slabeva (University of St. Gallen)
Gerd Stumme (University of Karlsruhe)
Sylvie Szulman (LIPN, University Paris-Nord)
Hideaki Takeda (National Institute of Informatics, Japan)
Jun'ichi Tsujii (University of Tokyo, Japan)
Martin Wolpers (Learning Lab Lower Saxony)
We invite submissions of technical papers and short position papers
(two pages). Authors of accepted technical and position papers will be invited
to participate in the workshop.
Format requirements for submissions of technical papers are:
maximum 12 double-spaced pages, excluding
title page and bibliography.
All submissions should be made electronically
if possible, by email attachment and preferably in Postscript or PDF format.
Only if electronic submission is impossible should you send three hardcopies.